EURASIP Journal on Wireless Communications and Networking - Special issue on fairness in radio resource management for wireless networks
Power control for cooperative dynamic spectrum access networks with diverse QoS constraints
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Utility-based power control with QoS support
Wireless Networks
Joint utility-based power control and receive beamforming in decentralized wireless networks
EURASIP Journal on Wireless Communications and Networking - Special issue on interference management in wireless communication systems: theory and applications
On distributed power control and transceiver optimization in wireless networks
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
| Hi-index | 35.69 |
This paper deals with the problem of medium access control (MAC)-layer fair power control in a wireless mesh network with an established network topology. The notion of MAC-layer fairness is defined along similar lines as end-to-end fairness for elastic traffic, except that instead of end-to-end flows, MAC-layer flows are considered, being that one hop flows between neighboring nodes. In this paper, we identify a class of utility functions of link rates that allows for a convex problem formulation. The convexity property is a key prerequisite for implementing power control algorithms in practice. We present a novel distributed algorithmic solution to the power control problem based on gradient-projection methods, prove its global convergence, and provide sufficient conditions for a geometric convergence rate. The main novelty of our scheme lies in the use of the so-called adjoint network in such a way that each transmitter can estimate its current update direction from the received signal power. This mitigates the problem of global coordination of the transmitters when carrying out gradient-projection algorithms in distributed wireless networks. The price for this are possible estimation errors so that the proposed scheme is analyzed within the framework of stochastic approximation.